Category: Data
FAIR data, not necessarily open
Applied data science, machine learning, and artificial intelligence research often require computational use of data. FAIR data is machine findable, accessible,...
Learn with the Libraries: Fall 2020 Workshops
New online opportunities to build your skills
Even though we are not all on campus this fall, you can still Learn with the Libraries! Click on a workshop...
Learn with the Libraries: Summer 2020
New online opportunities to build your skills
Even though we are not all on campus, you can still Learn with the Libraries this summer! Click on a workshop...
Quick and Dirty Data Management: 5 things you should absolutely be doing with your data now
News from the MIT Press
Spring 2020
The MIT Press is committed to reimagining what a university press can be. This spring, the Press is delighted to announce...
Globus now freely available for COVID-19 researchers
Learn how you can access the data transfer platform
Are you working on COVID-19 and have large data you need to move about? Globus is here for you! Globus allows...
Is your data FAIR or FOUL?
Data Management Services can help you optimize your data
Have you ever tried working with data that is Frustrating, Obfuscated, Unmanaged, and maybe even Lost? FOUL data can negatively impact...
Make your research more reproducible
Join the Libraries for a series of workshops in January
Reproducibility is a hot topic. A 2018 Nature special issue on challenges in irreproducible research noted that “there is growing alarm about...
The Computational Library
A Q&A with Heather Yager, associate director for technology
Heather Yager leads Digital Library Services, which provides technology strategy and planning, software development, user engagement, and web services in support...